PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,058 words searched).

  1. where'd Marie go ? MOT · eng_USA_Brown/sarah005.cha, line 161 · Sarah 2;03
  2. where'd she go ? MOT · eng_USA_Brown/sarah005.cha, line 868 · Sarah 2;03
  3. where'd my baby go ? MOT · eng_USA_Brown/sarah005.cha, line 870 · Sarah 2;03
  4. xxx funny xxx where'd she go ? MOT · eng_USA_Brown/sarah005.cha, line 872 · Sarah 2;03
  5. where'd she go ? MOT · eng_USA_Brown/sarah005.cha, line 874 · Sarah 2;03
  6. where'd she go ? MOT · eng_USA_Brown/sarah005.cha, line 882 · Sarah 2;03
  7. where'd Mike go ? MOT · eng_USA_Brown/sarah005.cha, line 1057 · Sarah 2;03
  1. eng_USA_Brown/sarah005.cha, line 161 · Sarah, 2;3.26
    MOTstop that !
    CHIMarie go .
    MOT*MOT: where'd Marie go ?
    MOTMarie's gone to school .
    CHIxxx .
  2. eng_USA_Brown/sarah005.cha, line 868 · Sarah, 2;3.26
    MOTwhere's Sarah ?
    MOTwhere is she ?
    MOT*MOT: where'd she go ?
    MOTwhere'd my baby go ?
    MOTxxx funny xxx where'd she go ?
  3. eng_USA_Brown/sarah005.cha, line 870 · Sarah, 2;3.26
    MOTwhere is she ?
    MOTwhere'd she go ?
    MOT*MOT: where'd my baby go ?
    MOTxxx funny xxx where'd she go ?
    MOTwhere'd she go ?
  4. eng_USA_Brown/sarah005.cha, line 872 · Sarah, 2;3.26
    MOTwhere'd she go ?
    MOTwhere'd my baby go ?
    MOT*MOT: xxx funny xxx where'd she go ?
    MOTwhere'd she go ?
    CHIxxx .
  5. eng_USA_Brown/sarah005.cha, line 874 · Sarah, 2;3.26
    MOTwhere'd my baby go ?
    MOTxxx funny xxx where'd she go ?
    MOT*MOT: where'd she go ?
    CHIxxx .
    MOTwhere is she ?
  6. eng_USA_Brown/sarah005.cha, line 882 · Sarah, 2;3.26
    MOTwhere is she ?
    MOTI can't see her .
    MOT*MOT: where'd she go ?
    MOTdid you see Sarah ?
    MOTSarah's gone .
  7. eng_USA_Brown/sarah005.cha, line 1057 · Sarah, 2;3.26
    CHIMike gone .
    MOThe's gone !
    MOT*MOT: where'd Mike go ?
    CHIall gone .
    MOThe's all gone .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah005.chaSarah 2;3.261,058776.62

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. where'd7 · 100.0%